Separation scientists frequently encounter critical pairs that are difficult to separate in a complex mixture. To save time and expensive solvents, an effective alternative to conventional screening ...

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their ...

Research fellow in Generative Audio AI, King's College London (KCL); Visiting Researcher, CVSSP, Sustainability Fellow, University of Surrey Arshdeep Singh is employed as a Research Fellow in the AI ...

Institute of Process Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Fritz-Haber-Weg 2, 76131 Karlsruhe, Germany ...

We provide a pytorch implementation of the paper: Kernel Learning for High-Resolution Time-Frequency Distribution [1], where a kernel learning time-frequency distribution (KL-TFD) model is proposed to ...

Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses ...

Editor’s note: I came across this excellent tutorial article on Digital Filter Design and I thought it would be an excellent guide for novices as well as seasoned veterans. I want to thank William H.

In an effort to assess the performance of newer estimation algorithms, many prior publications have presented comparative studies where the Extended Kalman Filter (EKF) failed. This is because the EKF ...